Порівняння методів

	Student Growth Percentiles	Квантильна регресія
Галузь	Education	Економетрика
Родина	Regression model	Regression model
Рік появи	2009	1978
Автор методу	Damian W. Betebenner	Koenker & Bassett
Тип	Normative growth description via conditional quantile regression	Conditional quantile regression
Основоположне джерело	Betebenner, D. W. (2009). Norm- and criterion-referenced student growth. Educational Measurement: Issues and Practice, 28(4), 42–51.	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
Інші назви	SGP, Conditional Status Percentiles, Betebenner Growth Percentiles, Quantile-Regression Growth Model	conditional quantile regression, regression quantiles, Kantil Regresyon
Пов'язані	4	5
Підсумок	Student growth percentiles (SGPs) describe how much a student grew academically relative to peers with similar score histories. Introduced by Damian Betebenner in 2009, the method fits a series of conditional quantile regressions of a current test score on prior scores, then reports each student's growth as the percentile rank they occupy within the distribution of students who had the same starting point. A student at the 70th growth percentile grew faster than 70 percent of academic peers, regardless of their absolute achievement level.	Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.